Prithviraj (Raj) Ammanabrolu
@rajammanabrolu
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Reinforcement Learning and Language. Assistant Prof @UCSanDiego. Research Scientist @Nvidia.
San Diego, CA
Joined April 2019
The PEARLS Lab at @UCSD_CSE is now open for business! I'm recruiting Fall 24 PhD students in all things interactive and grounded AI, RL, and NLP!! Join us in the land of 🏖️ beach (🧋pearl tea included). Apply by Dec 20. Please help spread the word!. More:
Soon™, I'll be an Asst Prof @UCSanDiego @UCSD_CSE focusing on interactive & grounded AI, RL, NLP. I will also be a research scientist @MosaicML helping lead efforts to make tech like RLHF more accessible. Looking for PhD students & research eng/scientists to join me in ☀️SoCal🏖️
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Reviewers seem to be anticipating this too. So many "this is a great paper, accept it but only if there is space" type reviews in my batch.
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Blazing-fast image creation – using just your voice. Try Grok Imagine.
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This will happen but it will be *very* black pilling for authors. You can spend all that time and convince reviewers via conversation but an (S)AC/PC you had no contact with will reject it to maintain an artificial acceptance rate.
The rebuttal process @NeurIPSConf was too collegial and productive, so a bunch of papers whose process ended on a positive note will be rejected.
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RT @YejinChoinka: Honored to be back on TIME100 AI for 2025 — alongside my longtime heroes @drfeifei and @BarzilayRegina! 😍. The recognitio….
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special place in hell for swes who don't understand backward compatibility. bruh wydm you made server side changes that broke my code from last week without updating your api ???.
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Oh hey so we did do this a few years ago for grade school science. Would love to see ppl get more of these Text Worlds up and running!.
How amazing it would be if we could extract and reframe all the practice problems from all the textbooks ever written into environments. .
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turns out the new job offers complimentary flops at home
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Tags: AGI.
Introducing the Environments Hub. RL environments are the key bottleneck to the next wave of AI progress, but big labs are locking them down. We built a community platform for crowdsourcing open environments, so anyone can contribute to open-source AGI
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if your policy gradient runs aren't converging it's not a skill issue you're just not pure of heart.
define a Partially Observable Markov Decision Process (POMDP) w/ state S, observation O, action A, transition T, and reward R. now assume full observability and remove the constraint that T be Markov. if you are pure of heart, the policy gradients will converge to the Machine God.
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>pro AI super PAC.>e/acc lobbyists in DC.>offices in New Delhi.Yeah
a16z, OpenAI's Greg Brockman, and others launch Leading the Future, a pro-AI super PAC network with $100M+ in funding, hoping to emulate crypto PAC Fairshake (Wall Street Journal). 📫 Subscribe:
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conference pc emails are weirdly passive aggressive "we are compiling a list" "there will be consequences" "as per your agreement" like chill this is a free service im doing late at night on my own time after my other two actually paid jobs, the world isn't ending in a day.
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you haven't really experienced america until you've had to deal with at least one complex medical and legal situation each.
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RT @kuchaev: We are excited to release Nvidia-Nemotron-Nano-V2 model! This is a 9B hybrid SSM model with open base model and training data.….
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RT @pratyushmaini: 1/Pretraining is hitting a data wall; scaling raw web data alone leads to diminishing returns. Today @datologyai shares….
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Give a man a few beers, set his tweets free for a day. Get a man to quit his job, set his tweets free forever. --Gork, 2025, probably
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Infra is the only thing to do to scale and scale is the only thing that consistently makes number go up. But if a company tells you they have it all figured out and "we'll have perfect infra soon, we're hiring many REs", run.
@suchenzang AI infra is young, hard and messy (you obviously know this). the fact that meta talks about their infra details openly only makes it publicly messy. everyone's infra across the industry is pretty messy but privately so.
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Just hard to do / feels esp bad when they're (former) colleagues. Many such cases.
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Trying to be nice to ppl who blatantly try to rebrand an existing area doing no lit search and making unsubstantiated claims is a mistake. Either tell them that their paper is bad and they should feel bad or become Zen and ignore.
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